The applied quantitative psychology track is based on the belief that progress in psychology demands the development of formal models of behavior. For this reason, the applied quantitative psychology track offers advanced training in quantitative methods to graduate students who are concurrently studying in one of the other experimental or clinical psychology tracks. Besides the usual coursework required of all students in either the experimental psychology or clinical psychology program, students who select this track receive extensive training in mathematics, computer science, and statistics. The aim of this track is to prepare students for conducting research in academic, business, health or government settings that require proficiency in mathematical, statistical, or computer-based techniques.
While most students in the applied quantitative track have completed coursework in both psychology and mathematics or computer science, others have limited backgrounds in one or the other. We encourage applications from psychology undergraduate majors who have completed few courses in mathematics or computer science, but who have demonstrated an interest in and aptitude for mathematics. We also encourage applications from individuals who have a limited background in psychology, but who have received extensive training in mathematics, computer science, or related disciplines and who wish to apply that training to psychological issues.
- Francis S. Bellezza, Ph.D., University of Minnesota (1970),
Professor - Models of cognition and memory, statistics.
- Bruce W. Carlson, Ph.D., University of Michigan (1984),
Associate Professor - Social Judgment and decision-making, reasoning processes, multivariate categorical analysis, diagnostic testing, mathematical psychology.
- Claudia Gonzalez-Vallejo, Ph.D., University of North Carolina (1992),
Associate Professor - Research interests include applications of judgment and decision-making research to medical decision making and public policy.
- Jeffrey B. Vancouver, Ph.D. Michigan State University, (1989),
Professor - Current research involves developing and testing computational models of human/environment interactions, focusing on the role of goals and feedback in motivation and learning.
- Ronaldo Vigo, Ph.D. Indiana University at Bloomington,
Associate Professor - Research interests include cognitive research with focus on the development of mathematical and computational models of concept learning and categorization behavior.